At a Glance
- Tasks: Measure and evaluate large-scale Linux systems to ensure reliability and performance.
- Company: Join Graphcore, a leader in AI compute backed by SoftBank Group.
- Benefits: Enjoy flexible working, competitive salary, health plans, and generous leave policies.
- Other info: Inclusive culture with excellent career growth opportunities and a dynamic work environment.
- Why this job: Make a real impact on the future of AI technology with cutting-edge projects.
- Qualifications: Strong software engineering skills, experience in Linux environments, and proficiency in Python.
The predicted salary is between 60000 - 80000 £ per year.
About Graphcore
At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at data‑centre scale. As part of the SoftBank Group, backed by significant long‑term investment, we are delivering key technology into the fast‑growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.
Job Summary
We decide whether entire racks of machines are good enough to enter production. Our team measures and evaluates large‑scale Linux systems—from a single rack to datacentre scale. We don’t just run benchmarks; we determine whether a system behaves correctly and whether it is reliable enough to be trusted. The work spans designing workloads, building execution systems, and interpreting results. A measurement is only useful if it leads to a decision. You won’t be confined to a narrow role. Some engineers focus on infrastructure, others on workloads or analysis—but everyone contributes to understanding system behaviour at scale. You are free to specialise, but as a team we are responsible for leaving no gaps.
Responsibilities
- Expanding measurement coverage from small clusters to full racks
- Designing workloads that expose system behaviour
- Building systems to run experiments across large clusters
- Interpreting results and defining what “good enough” looks like
This is not a pure infrastructure or data role. The work combines systems engineering, measurement, and judgment. We’re looking for engineers who are comfortable working where the right answer isn’t obvious, and where careful measurement matters more than output volume.
Selection Criteria
- Strong software engineering experience, typically gained across multiple projects or systems over several years
- Experience working in Linux‑based environments, ideally with distributed or high‑performance systems
- Proficiency in Python
- Experience with automation and CI/CD systems (e.g. GitLab CI, Jenkins, GitHub Actions)
- Ability to design, implement, and run experiments or tests that produce meaningful results
- Ability to interpret results and communicate findings clearly, with an emphasis on accuracy and usefulness to decision‑making
- Comfortable working in areas where requirements are not fully defined and judgment is required
- Experience working with large‑scale or distributed systems (e.g. clusters, cloud platforms, HPC environments)
- Experience with performance, reliability, or systems‑level testing/measurement
- Familiarity with pytest or similar frameworks for structured test/measurement execution
- Experience analysing system behaviour under load (compute, network, or ML workloads)
- Experience working with containerisation, orchestration, and provisioning systems (e.g. Docker, Kubernetes, OpenStack)
- Proficiency in other application programming languages (e.g. C++)
- Exposure to data analysis, statistics, or interpreting variability in results
Benefits
In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance, income protection and a generous parental leave policy. We have an employee assistance programme (including health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us.
Sponsorship
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
Senior Systems Engineer – Performance & Reliability London, UK employer: graphcore
Contact Detail:
graphcore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Systems Engineer – Performance & Reliability London, UK
✨Tip Number 1
Get to know the company inside out! Research Graphcore's projects, values, and culture. This will help you tailor your conversations and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for technical interviews by brushing up on your skills. Practice coding challenges and system design questions relevant to performance and reliability. The more confident you are, the better you'll perform!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Graphcore team and ready to dive into the exciting world of AI compute.
We think you need these skills to ace Senior Systems Engineer – Performance & Reliability London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your software engineering experience, especially in Linux-based environments and any work with distributed systems. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for the role. Explain why you're excited about working at Graphcore and how your background aligns with our mission. Keep it concise but impactful!
Showcase Relevant Projects: If you've worked on projects involving performance, reliability, or systems-level testing, make sure to include them! We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Graphcore!
How to prepare for a job interview at graphcore
✨Know Your Systems Inside Out
Make sure you brush up on your knowledge of Linux-based environments and distributed systems. Be ready to discuss your experience with performance and reliability testing, as well as any specific projects where you've designed workloads or interpreted results.
✨Show Off Your Coding Skills
Since proficiency in Python is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process.
✨Prepare for Scenario-Based Questions
Expect questions that assess your judgement in ambiguous situations. Think of examples from your past where you had to make decisions based on incomplete information, and be ready to explain how you approached those challenges.
✨Communicate Clearly and Effectively
As you'll need to interpret results and communicate findings, practice explaining complex technical concepts in simple terms. This will show your ability to convey important information clearly, which is crucial for decision-making in this role.